无需对比剂，仅用动态心肌影像就能精准识别心肌瘢痕。
Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion
- 融合心脏运动与图像纹理信息进行瘢痕分割
- 在非对比增强影像上达到接近金标准的准确率
- 适合无法使用造影剂的患者或想简化流程的临床场景
心肌梗死后，延迟钆增强磁共振成像（LGE MRI）是检测心肌瘢痕的金标准。但其需注射对比剂，存在潜在副作用并增加扫描时间与患者不适。为此，我们提出一种新框架，结合心脏在动态电影磁共振（cine MRI）中呈现的运动信息与图像纹理特征，实现左心室心肌及瘢痕组织的分割。心脏运动追踪可建模为整周期心脏图像配准问题，可通过深度神经网络求解。实验表明，该方法仅基于非对比增强的电影影像即可实现与LGE MRI相当精度的瘢痕分割，展现出作为对比增强技术替代方案的巨大潜力。
原文摘要 · Abstract (English)
Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a contrast agent, which carries potential side effects and increases scanning time and patient discomfort. To address these issues, we propose a novel framework that combines cardiac motion observed in cine MRI with image texture information to segment the myocardium and scar tissue in the left ventricle. Cardiac motion tracking can be formulated as a full cardiac image cycle registration problem, which can be solved via deep neural networks. Experimental results prove that the proposed method can achieve scar segmentation based on non-contrasted cine images with comparable accuracy to LGE MRI. This demonstrates its potential as an alternative to contrast-enhanced techniques for scar detection.
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